fipy.solvers.pysparse.linearPCGSolver¶

Classes

LinearPCGSolver([precon])

The LinearPCGSolver solves a linear system of equations using the preconditioned conjugate gradient method (PCG) with symmetric successive over-relaxation (SSOR) preconditioning by default.

class fipy.solvers.pysparse.linearPCGSolver.LinearPCGSolver(precon=<fipy.solvers.pysparse.preconditioners.ssorPreconditioner.SsorPreconditioner object>, *args, **kwargs)¶

Bases: PysparseSolver

The LinearPCGSolver solves a linear system of equations using the preconditioned conjugate gradient method (PCG) with symmetric successive over-relaxation (SSOR) preconditioning by default. Alternatively, Jacobi preconditioning can be specified through precon. The PCG method solves systems with a symmetric positive definite coefficient matrix.

The LinearPCGSolver is a wrapper class for the the Pysparse itsolvers.pcg() and precon.ssor() methods.

Parameters:: precon (Preconditioner, optional) –

__repr__()¶: Return repr(self).

Last updated on Nov 20, 2024. Created using Sphinx 7.1.2.